Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Toon Van Craenendonck"'
Autor:
Sophie Lemmens, Toon Van Craenendonck, Jan Van Eijgen, Lies De Groef, Rose Bruffaerts, Danilo Andrade de Jesus, Wouter Charle, Murali Jayapala, Gordana Sunaric-Mégevand, Arnout Standaert, Jan Theunis, Karel Van Keer, Mathieu Vandenbulcke, Lieve Moons, Rik Vandenberghe, Patrick De Boever, Ingeborg Stalmans
Publikováno v:
Alzheimer’s Research & Therapy, Vol 12, Iss 1, Pp 1-13 (2020)
Abstract Introduction The eye offers potential for the diagnosis of Alzheimer’s disease (AD) with retinal imaging techniques being explored to quantify amyloid accumulation and aspects of neurodegeneration. To assess these changes, this proof-of-co
Externí odkaz:
https://doaj.org/article/0970a6d3f92c479ba958acef8316720b
Autor:
Nele Gerrits, Bart Elen, Toon Van Craenendonck, Danai Triantafyllidou, Ioannis N. Petropoulos, Rayaz A. Malik, Patrick De Boever
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/7d650f6c34b4414c90d14357a81f8054
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030676605
ECML/PKDD (2)
ECML/PKDD (2)
Constraint-based clustering leverages user-provided constraints to produce a clustering that matches the user's expectation. In active constraint-based clustering, the algorithm selects the most informative constraints to query in order to produce go
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::733a94f35352c0e08891f8dda9bb7a8f
https://lirias.kuleuven.be/handle/123456789/656434
https://lirias.kuleuven.be/handle/123456789/656434
Autor:
Toon Van Craenendonck, Nele Gerrits, Bart Buelens, Rayaz A. Malik, Ioannis N. Petropoulos, Ashfaq Shuaib, Patrick De Boever, Arnout Standaert
Publikováno v:
Acta ophthalmologica (Oxford)
Purpose Metrics that capture changes in the retinal microvascular structure are relevant in the context of cardiometabolic disease development. The microvascular topology is typically quantified using monofractals, although it obeys more complex mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05e715bbf4a3bd7703a8d10093a2b7b0
https://doi.org/10.1111/aos.14598
https://doi.org/10.1111/aos.14598
Autor:
Rayaz A. Malik, Ioannis N. Petropoulos, Toon Van Craenendonck, Patrick De Boever, Nele Gerrits, Bart Elen, Danai Triantafyllidou
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports
Scientific reports
Scientific Reports
Scientific reports
Deep neural networks can extract clinical information, such as diabetic retinopathy status and individual characteristics (e.g. age and sex), from retinal images. Here, we report the first study to train deep learning models with retinal images from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b4ecdf92d777f3dab197b79cb210c6d
https://doi.org/10.1038/s41598-020-65794-4
https://doi.org/10.1038/s41598-020-65794-4
Publikováno v:
Translational Vision Science & Technology
Translational vision science & technology
Translational vision science & technology
Purpose Heatmapping techniques can support explainability of deep learning (DL) predictions in medical image analysis. However, individual techniques have been mainly applied in a descriptive way without an objective and systematic evaluation. We inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c82935486217953b0bd7e9f6ce021dcc
http://hdl.handle.net/1942/33812
http://hdl.handle.net/1942/33812
Autor:
Lieve Moons, Karel Van Keer, Jan Theunis, Lies De Groef, Gordana Sunaric-Mégevand, Ingeborg Stalmans, Sophie Lemmens, Wouter Charle, Arnout Standaert, Jan Van Eijgen, Rik Vandenberghe, Mathieu Vandenbulcke, Rose Bruffaerts, Danilo Andrade De Jesus, Toon Van Craenendonck, Murali Jayapala, Patrick De Boever
Publikováno v:
Alzheimer's research & therapy
Alzheimer's Research & Therapy
Alzheimer’s Research & Therapy, Vol 12, Iss 1, Pp 1-13 (2020)
Alzheimer's Research & Therapy
Alzheimer’s Research & Therapy, Vol 12, Iss 1, Pp 1-13 (2020)
Introduction The eye offers potential for the diagnosis of Alzheimer's disease (AD) with retinal imaging techniques being explored to quantify amyloid accumulation and aspects of neurodegeneration. To assess these changes, this proof-of-concept study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b0da13d2221c2a0741a8a219b60bdd6
http://hdl.handle.net/1942/33068
http://hdl.handle.net/1942/33068
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109967
ECML/PKDD (3)
ECML/PKDD (3)
© 2019, Springer Nature Switzerland AG. Time series are ubiquitous, resulting in substantial interest in time series data mining. Clustering is one of the most widely used techniques in this setting. Recent work has shown that time series clustering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b8ae09f2ae1ed7c32794d91fbc2d44a
https://doi.org/10.1007/978-3-030-10997-4_45
https://doi.org/10.1007/978-3-030-10997-4_45
Autor:
Patrick De Boever, Ioannis N. Petropoulos, Nele Gerrits, Toon Van Craenendonck, Bart Elen, Rayaz A. Malik, Danai Triantafyllidou
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Scientific Reports
Scientific Reports
Deep neural networks can extract clinical information, such as diabetic retinopathy status and individual characteristics (e.g. age and sex), from retinal images. Here, we report the first study to train deep learning models with retinal images from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcf6f0dccc1883ab8994b6a44643dbfa
https://doaj.org/article/7d650f6c34b4414c90d14357a81f8054
https://doaj.org/article/7d650f6c34b4414c90d14357a81f8054
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Advances in Intelligent Data Analysis XVII
Advances in Intelligent Data Analysis XVII ISBN: 9783030017675
IDA
Advances in Intelligent Data Analysis XVII-17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings
Lecture Notes in Computer Science-Advances in Intelligent Data Analysis XVII
Advances in Intelligent Data Analysis XVII ISBN: 9783030017675
IDA
Advances in Intelligent Data Analysis XVII-17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings
© Springer Nature Switzerland AG 2018. Constraint-based clustering algorithms exploit background knowledge to construct clusterings that are aligned with the interests of a particular user. This background knowledge is often obtained by allowing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3340e9a10a1cc6380a99b80ea135fe6f
https://lirias.kuleuven.be/handle/123456789/627630
https://lirias.kuleuven.be/handle/123456789/627630